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Math @ Duke
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Publications [#371975] of Alexander J Dunlap
Papers Published
- Dunlap, A; Graham, C; Ryzhik, L, Stationary solutions to the stochastic burgers equation on the line,
Communications in Mathematical Physics, vol. 382 no. 2
(March, 2021),
pp. 875-949 [doi]
(last updated on 2026/01/15)
Abstract: We consider invariant measures for the stochastic Burgers equation on $\mathbb{R}$, forced by the derivative of a spacetime-homogeneous Gaussian noise that is white in time and smooth in space. An invariant measure is indecomposable, or extremal, if it cannot be represented as a convex combination of other invariant measures. We show that for each $a\in\mathbb{R}$, there is a unique indecomposable law of a spacetime-stationary solution with mean $a$, in a suitable function space. We also show that solutions starting from spatially-decaying perturbations of mean-$a$ periodic functions converge in law to the extremal space-time stationary solution with mean $a$ as time goes to infinity.
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